Data, AI, and Cloud Courses

• AdvancedSkill Level
• 4.5+
• 350

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• IntermediateSkill Level
• 4.5+
• 350

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• IntermediateSkill Level
• 4.7+
• 348

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• IntermediateSkill Level
• 4.6+
• 347

Learn to build recommendation engines in Python using machine learning techniques.

• AdvancedSkill Level
• 4.6+
• 338

Learn how to write recursive queries and query hierarchical data structures.

• AdvancedSkill Level
• 4.6+
• 335

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• AdvancedSkill Level
• 4.7+
• 333

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

• IntermediateSkill Level
• 4.5+
• 332

Learn how to design and implement triggers in SQL Server using real-world examples.

• BasicSkill Level
• 4.8+
• 329

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• AdvancedSkill Level
• 4.6+
• 329

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• IntermediateSkill Level
• 4.5+
• 328

Develop the skills you need to clean raw data and transform it into accurate insights.

• BasicSkill Level
• 4.6+
• 327

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

• BasicSkill Level
• 4.8+
• 326

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• IntermediateSkill Level
• 4.6+
• 318

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• IntermediateSkill Level
• 4.7+
• 317

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• IntermediateSkill Level
• 4.6+
• 317

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• BasicSkill Level
• 4.6+
• 315

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

• IntermediateSkill Level
• 4.5+
• 314

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

• IntermediateSkill Level
• 4.5+
• 310

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• IntermediateSkill Level
• 4.7+
• 307

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• IntermediateSkill Level
• 4.6+
• 307

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

• BasicSkill Level
• 4.6+
• 304

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

• IntermediateSkill Level
• 4.6+
• 303

Learn how to segment customers in Python.

• AdvancedSkill Level
• 4.5+
• 297

This course covers everything you need to know to build a basic machine learning monitoring system in Python

• AdvancedSkill Level
• 4.7+
• 294

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• BasicSkill Level
• 4.7+
• 292

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

• IntermediateSkill Level
• 4.6+
• 289

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• BasicSkill Level
• 4.6+
• 286

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• IntermediateSkill Level
• 4.7+
• 285

Learn how to use Python to analyze customer churn and build a model to predict it.

• IntermediateSkill Level
• 4.5+
• 285

Master Amazon Redshifts SQL, data management, optimization, and security.